Advertisement

Robot Selection for a Given Industrial Application

Chapter
  • 2.2k Downloads
Part of the Springer Series in Advanced Manufacturing book series (SSAM)

Keywords

Data Envelopment Analysis Analytic Hierarchy Process Load Carry Capacity Industrial Robot Analytic Hierarchy Process Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Agrawal VP, Kohli V, Gupta S (1991) Computer aided robot selection: the ‘multiple attribute decision making’ approach. International Journal of Production Research 29:1629–1644Google Scholar
  2. Bhangale PP, Agrawal VP, Saha SK (2004) Attribute based specification, comparison and selection of a robot. Mechanism & Machine Theory 39:1345–1366zbMATHCrossRefGoogle Scholar
  3. Booth DE, Khouja M, Hu M (1992) A robust multivariate statistical procedure for evaluation and selection of industrial robots. International Journal of Operations & Production Management 12:15–24CrossRefGoogle Scholar
  4. Boubekri N, Sahoui M, Lakrib C (1991) Development of an expert system for industrial robot selection. Computers & Industrial Engineering 20:119–127CrossRefGoogle Scholar
  5. Bragilia M, Petroni A (1999) Evaluating and selecting investments in industrial robots. International Journal of Production Research 37:4157–4178CrossRefGoogle Scholar
  6. Chu TC, Lin YC (2003) A fuzzy TOPSIS method for robot selection. International Journal of Advanced Manufacturing Technology 21:284–290CrossRefGoogle Scholar
  7. Goh CH (1997) Analytic hierarchy process for robot selection. Journal of Manufacturing Systems 16:381–386.MathSciNetGoogle Scholar
  8. Goh CH, Tung YCA, Cheng CH (1996) A revised weighted sum decision model for robot selection. Computers & Industrial Engineering 30:193–198CrossRefGoogle Scholar
  9. Imang MM, Schlesinger RJ (1989) Decision models for robot selection: a comparison of ordinary least squares and linear goal programming method. Decision Sciences 20:40–53Google Scholar
  10. Karsak EE, Ahiska SS (2005) Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection. International Journal of Production Research 43:1537–1554zbMATHGoogle Scholar
  11. Khouja M (1995) The use of data envelopment analysis for technology selection. Computers & Industrial Engineering 28:123–132CrossRefGoogle Scholar
  12. Khouja MJ, Kumar RL (1999) An options view of robot performance parameters in a dynamic environment. International Journal of Production Research 37:1243–1257zbMATHCrossRefGoogle Scholar
  13. Khouja M, Offodile OF (1994) The industrial robots selection problem: a literature review and directions for future research. IIE Transactions 26:50–61Google Scholar
  14. Knott K, Getto RD (1982) A model for evaluating alternative robot systems under uncertainty. International Journal of Production Research 20:155–165Google Scholar
  15. Layek AM, Resare LJ (2000) Algorithm based decision support system for the concerted selection of equipment in machining/assembly cells. International Journal of Production Research 38:323–339zbMATHCrossRefGoogle Scholar
  16. Liang GH, Wang MJ (1993) A fuzzy multi-criteria decision-making approach for robot selection. Robotics and Computer Aided Manufacturing 10:267–274CrossRefGoogle Scholar
  17. Offodile OF, Lambert PK, Dudek RA (1987) Development of a computer aided robot selection procedure (CARSP). International Journal of Production Research 25:1109–1112Google Scholar
  18. Parkan C, Wu ML (1999) Decision-making and performance measurement models with applications to robot selection. Computers & Industrial Engineering 36:503–523CrossRefGoogle Scholar
  19. Rao RV, Padmanabhan KK (2006) Selection, identification and comparison of industrial robots using digraph and matrix methods Robotics and Computer Integrated Manufacturing 22:373–383CrossRefGoogle Scholar
  20. Wang MJ, Singh HP, Huang WV (1991) A decision support system for robot selection. Decision Support Systems 7:273–283CrossRefGoogle Scholar
  21. Zhao L, Yashuhiro T (1996) Genetic algorithm for robot selection and work station assignment problem. Computers & Industrial Engineering 31:599–602CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2007

Personalised recommendations